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conda recipe for cudatoolkit
License: BSD 2-Clause "Simplified" License
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`ppc64le` packages
It would be useful to have ppc64le packages of cudatoolkit to support builds for this platform and help users wanting to deploy to it as well.
`aarch64` packages
It would be useful to have aarch64 packages of cudatoolkit to support builds for this platform and help users wanting to deploy to it as well.
cudadevrt.lib doesn't work on Windows
It seems that there's something wrong with the cudadevrt.lib binary in the cudatoolkit-11.0.221-h74a9793_0.tar.bz2 package. When I attempt to use it with the Dynamic Parallelism example from the NVRTC docs (this is the simplest way to reproduce the issue), I get:
(base) PS C:\work\tmp\nvrtc-dynamic-parallelism> .\dynamic-parallelism.exe C:\work\tmp\cudatoolkit-package\Library\bin\cudadevrt.lib
error: cuLinkAddFile(linkState, CU_JIT_INPUT_LIBRARY, argv[1], 0, 0, 0) failed with error CUDA_ERROR_NO_BINARY_FOR_GPU
whereas when I use the version of cudadevrt.lib from an installed CUDA toolkit, e.g.:
(base) PS C:\work\tmp\nvrtc-dynamic-parallelism> .\dynamic-parallelism.exe "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\lib\x64\cudadevrt.lib"
0
...
4095
I get the expected result - the program runs and prints the integers from 0 to 4095.
I notice that the cudadevrt.lib in the conda package seems to be small in comparison to the version from the official installer:
(base) PS C:\work\tmp\nvrtc-dynamic-parallelism> ls -l "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\lib\x64\cudadevrt.lib"
Directory: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\lib\x64
Mode LastWriteTime Length Name
---- ------------- ------ ----
-a---- 23/07/2020 11:59 943584 cudadevrt.lib
(base) PS C:\work\tmp\nvrtc-dynamic-parallelism> ls -l C:\work\tmp\cudatoolkit-package\Library\bin\cudadevrt.lib
Directory: C:\work\tmp\cudatoolkit-package\Library\bin
Mode LastWriteTime Length Name
---- ------------- ------ ----
-a---- 28/08/2020 23:36 596438 cudadevrt.lib
I hope this is the right place for this issue - if not, could you point me in the right direction please?
Managing multiple cudatoolkit versions
It would be useful to have branches for the different versions being supported. That way if we need to backport changes from master to other versions of the cudatoolkit package, we can do that.
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